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Proceedings Paper

Muon imaging and data modeling
Author(s): Holger M. Jaenisch; James W. Handley; Michael L. Hicklen; David C. Vineyard; Michael D. Ramage; James M. Colthart
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Paper Abstract

This paper describes our novel capability for analyzing voxel data such as muon images to detect potential threat objects and then to further discriminate them by shape. This is done with Change Detection using Data Modeling. These methods minimize long exposure requirements previously reported in the literature. This paper summarizes our algorithm and provides example results.

Paper Details

Date Published: 4 May 2007
PDF: 8 pages
Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65380G (4 May 2007); doi: 10.1117/12.741581
Show Author Affiliations
Holger M. Jaenisch, dtech Systems Inc. (United States)
James W. Handley, dtech Systems Inc. (United States)
Michael L. Hicklen, dtech Systems Inc. (United States)
David C. Vineyard, Decision Sciences Corp. (United States)
Michael D. Ramage, Decision Sciences Corp. (United States)
James M. Colthart, Decision Sciences Corp. (United States)


Published in SPIE Proceedings Vol. 6538:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI
Edward M. Carapezza, Editor(s)

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